A method for the additive manufacturing of an elastomer part, includes—the creation of a model of spatial coordinates of the part; followed by—the corresponding deposition of an elastomer material. The deposition is carried out in a plurality of substantially flat layers which are vertically stacked. The elastomer material is deposited in the form of a latex-based liquid composition having a dispersion of polymers in an aqueous base, and the deposition is carried out by formation and pressurized ejection of drops of a liquid composition.

Various implementations include a three-dimensional printing device. The device includes a primary extruder, a secondary extruder, and a build plate. The primary extruder has a hollow primary body for accepting a printing material. An end of the primary body defines a primary extruder opening shaped to extrude a primary extrusion of melted printing material. The secondary extruder has a hollow secondary body for accepting a printing material. An end of the secondary body defines a secondary extruder opening shaped to extrude a secondary extrusion of melted printing material. A first primary extrusion extruded from the primary extruder disposed side by side with a second primary extrusion extruded from the primary extruder adjacent the build plate in a first layer defines a gap between adjacent edges of the first and second primary extrusions. A first secondary extrusion extruded from the secondary extruder is disposable in a second layer in the gap.

Various implementations include a three-dimensional printing device. The device includes a primary extruder, a secondary extruder, and a build plate. The primary extruder has a hollow primary body for accepting a printing material. An end of the primary body defines a primary extruder opening shaped to extrude a primary extrusion of melted printing material. The secondary extruder has a hollow secondary body for accepting a printing material. An end of the secondary body defines a secondary extruder opening shaped to extrude a secondary extrusion of melted printing material. A first primary extrusion extruded from the primary extruder disposed side by side with a second primary extrusion extruded from the primary extruder adjacent the build plate in a first layer defines a gap between adjacent edges of the first and second primary extrusions. A first secondary extrusion extruded from the secondary extruder is disposable in a second layer in the gap.

A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.

A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.

A method of controlling sensing level in a liquid ejector is disclosed. The method includes filling a reservoir in communication with a liquid ejector with a printing material to a first level set point, receiving a drop out signal from a laser-based level sensor that reads from a surface of a melt pool in the reservoir, pausing an operation of the liquid ejector, adjusting the printing material level set point to a second level set point of printing material in reservoir that is higher than the first level set point, increasing a quantity of printing material in the reservoir to fill the reservoir to the second level set point, and resuming the operation of the liquid ejector.

A method of controlling sensing level in a liquid ejector is disclosed. The method includes filling a reservoir in communication with a liquid ejector with a printing material to a first level set point, receiving a drop out signal from a laser-based level sensor that reads from a surface of a melt pool in the reservoir, pausing an operation of the liquid ejector, adjusting the printing material level set point to a second level set point of printing material in reservoir that is higher than the first level set point, increasing a quantity of printing material in the reservoir to fill the reservoir to the second level set point, and resuming the operation of the liquid ejector.

Methods and apparatuses for replaceable beam entry windows in additive manufacturing systems are disclosed.

A layer configuration prediction method is provided and includes: a specimen production step of producing multiple specimens by depositing layers of a material in configurations different from each other; a specimen measurement step of performing, on each specimen, measurement to acquire a texture parameter corresponding to a texture; a learning step of causing a computer to perform machine learning of a relation between each of the specimens and the texture parameter; a setting parameter calculation step of calculating a setting parameter corresponding to the texture set to a computer graphics image; and a layer configuration acquisition step of providing the setting parameter as an input to the computer having been caused to perform the machine learning, and acquiring an output representing the layering pattern of layers of the material corresponding to the setting parameter.

A layer configuration prediction method is provided and includes: a specimen production step of producing multiple specimens by depositing layers of a material in configurations different from each other; a specimen measurement step of performing, on each specimen, measurement to acquire a texture parameter corresponding to a texture; a learning step of causing a computer to perform machine learning of a relation between each of the specimens and the texture parameter; a setting parameter calculation step of calculating a setting parameter corresponding to the texture set to a computer graphics image; and a layer configuration acquisition step of providing the setting parameter as an input to the computer having been caused to perform the machine learning, and acquiring an output representing the layering pattern of layers of the material corresponding to the setting parameter.